




'''simple docstring'''







import numpy as np

class 	_snake_case:






 def __init__(self       :  str    )       ->   Optional[Any]:






    """simple docstring"""


    A__       =     (0, 0)
    A__       =     None
    A__       =     0
    A__       =     0
    A__       =     0






 def __eq__(self       :  List[str]    ,		a       :  Tuple    )       ->   List[str]:






    """simple docstring"""


    return self.position == cell.position






 def 						_UpperCamelCase (self       :  Dict    )       ->   str:






    """simple docstring"""


    print(self.position    )




class 	_snake_case:






 def __init__(self       :  List[str]    ,		a       :  Any=(5, 5)    )       ->   Union[str, Any]:






    """simple docstring"""


    A__       =     np.zeros(a    )
    A__       =     world_size[0]
    A__       =     world_size[1]






 def 						_UpperCamelCase (self       :  Union[str, Any]    )       ->   Dict:






    """simple docstring"""


    print(self.w    )






 def 						_UpperCamelCase (self       :  Dict    ,		a       :  Tuple    )       ->   str:






    """simple docstring"""


    A__       =     [
        (-1, -1),
        (-1, 0),
        (-1, 1),
        (0, -1),
        (0, 1),
        (1, -1),
        (1, 0),
        (1, 1),
    ]
    A__       =     cell.position[0]
    A__       =     cell.position[1]
    A__       =     []
    for n in neughbour_cord:
       A__       =     current_x + n[0]
       A__       =     current_y + n[1]
       if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
          A__       =     Cell()
          A__       =     (x, y)
          A__       =     cell
          neighbours.append(a    )
    return neighbours







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase						):






   '''simple docstring'''







   A__       =     []
   A__       =     []
   _open.append(UpperCAmelCase						)

   while _open:
      A__       =     np.argmin([n.f for n in _open]						)
      A__       =     _open[min_f]
      _closed.append(_open.pop(UpperCAmelCase						)						)
      if current == goal:
         break
      for n in world.get_neigbours(UpperCAmelCase						):
         for c in _closed:
            if c == n:
               continue
         A__       =     current.g + 1
         A__  ,			A__       =     n.position
         A__  ,			A__       =     goal.position
         A__       =     (ya - ya) ** 2 + (xa - xa) ** 2
         A__       =     n.h + n.g

         for c in _open:
            if c == n and c.f < n.f:
               continue
         _open.append(UpperCAmelCase						)
   A__       =     []
   while current.parent is not None:
      path.append(current.position						)
      A__       =     current.parent
   path.append(current.position						)
   return path[::-1]


if __name__ == "__main__":
    lowerCAmelCase_     						=				Gridworld()
    # Start position and goal
    lowerCAmelCase_     						=				Cell()
    lowerCAmelCase_     						=				(0, 0)
    lowerCAmelCase_     						=				Cell()
    lowerCAmelCase_     						=				(4, 4)
    print(f'''path from {start.position} to {goal.position}''')
    lowerCAmelCase_     						=				astar(world, start, goal)
    #   Just for visual reasons.
    for i in s:
        lowerCAmelCase_     						=				1
    print(world.w)








'''simple docstring'''







from torch import nn







def 						_A      ( UpperCAmelCase						):






   '''simple docstring'''







   if act_fn in ["swish", "silu"]:
      return nn.SiLU()
   elif act_fn == "mish":
      return nn.Mish()
   elif act_fn == "gelu":
      return nn.GELU()
   else:
      raise ValueError(F"""Unsupported activation function: {act_fn}"""						)


